points = prepare(data.map(v => Item(v.id, ...project(v), 1, v)), items => Math.max(items.length / divider, 1))
flat = prepare(data.map(v => Item(v.id, ...project(v), 1, v)), () => 1)
data = d3
.tsv(
"https://media.githubusercontent.com/media/Caster/growing-glyphs/master/input/csv/italian-renaissance-architecture.tsv",
p => ({
...p,
lat: parseFloat(p.latitude),
lng: parseFloat(p.longitude)
})
)
.then(d => d.filter(p => !(isNaN(p.lat) || isNaN(p.lng))))
import { preview } with { points, scale } from "@stardisblue/view-points"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
